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Enterprise AI, explained for builders and buyers. Page 11 of 32

Practical writing on governed agent orchestration, on-premise AI, compliance, and the infrastructure decisions that separate pilot projects from production platforms.

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283 Articles
40 Topics
12 Featured
A row of compact computers racked side by side with blue network cables, representing the isolated execution environments that AI agents need when they run code in private infrastructure
AI Infrastructure 6 min read

Sandboxing AI Agents That Run Code: Containers, gVisor and MicroVMs in Private Infrastructure

An agent that writes and runs code is executing untrusted input on your infrastructure. How the isolation options compare, what a sandbox must control besides the kernel boundary, and how to run agent code execution safely inside an on-premises AI platform.

#AI security#enterprise AI agents#AI infrastructure
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A person watching several monitors of network and infrastructure dashboards, standing in for the single control point an AI gateway puts in front of model traffic
AI Infrastructure 12 min read

AI Gateway Comparison 2026: Kong, LiteLLM, Portkey, Cloudflare, Vercel, Azure, AWS and Self-Hosted Options

An LLM gateway comparison for platform and security teams: nine gateways checked against their own documentation for routing, limits, caching, guardrails, MCP support, licence and where they can run. Verified September 2026.

#AI gateway#LLM gateway#model routing
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A person holding printed technical documents, used here to stand for a side-by-side review of AI governance software
AI Governance 12 min read

Best AI Governance Tools in 2026: AI Governance Software Compared by What It Governs

A buyer's comparison of AI governance software, grouped by what each product actually governs: the inventory, the compliance workflow, the data underneath or the agent at runtime. Every vendor claim was checked against that vendor's own pages in September 2026.

#AI governance tools#AI governance software#AI risk management
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A laptop showing source code in an IDE on a wooden desk, representing a developer working with a coding model that runs on local hardware
Software Development 20 min read

Best Local LLMs for Coding in 2026: Open-Weight Models Compared

Ten open-weight coding models you can run on your own hardware, checked against their model cards in September 2026 and compared on license, parameters, context, tool calling, memory needs and the coding agents that can use them.

#local LLM#agentic coding#open-weight models
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Blue and black cables plugged into hardware ports, standing in for the MCP servers that connect AI agents to enterprise systems
AI Security 12 min read

Best MCP Servers for Enterprise Teams in 2026: A Vetted List and an Approval Checklist

Official MCP servers from GitHub, Microsoft, Atlassian, Slack, Google, AWS and Salesforce, with the transport and authentication model of each, and the checklist a security team should run before any agent is allowed to call one. Checked against maintainer documentation in September 2026.

#MCP servers#Model Context Protocol#MCP security
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Padlock resting on a computer keyboard, representing the security and provenance review that comes before self-hosting DeepSeek open weights on premises
AI Security 11 min read

DeepSeek On-Premise: A Provenance and Risk Review Before You Self-Host V4

Self-hosting DeepSeek weights is a different risk decision from using DeepSeek's app or API. This review covers the September 2026 lineup, what public-sector restrictions actually cover, a provenance checklist for the weights, and the GPU arithmetic.

#DeepSeek#open-weight models#local LLM
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Close-up of a memory module with DRAM chips and gold edge contacts, a reminder that memory capacity and bandwidth decide which local models a desk-side AI system can run
AI Infrastructure 11 min read

DGX Spark vs Mac Studio vs Ryzen AI Max+ 395: Local LLM Hardware Compared (2026)

NVIDIA DGX Spark, Apple's M5 Max and M5 Ultra Mac Studio, and AMD's Ryzen AI Max+ 395 systems compared from their spec sheets: memory, bandwidth, stated compute, software stack, clustering, power and price, and where each fits in an enterprise AI plan.

#local AI hardware#DGX Spark#Mac Studio
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Developer in a dimly lit room reading code on two monitors, representing hands-on evaluation of open-source AI agent harnesses
AI Platforms 10 min read

Hermes Agent vs OpenClaw: Architecture, Skills, Security and Fit

A neutral comparison of the two most popular open-source personal agent harnesses: how OpenClaw's gateway and Hermes Agent's learning loop differ in architecture, skills, memory, channels, local models, sandboxing, security record and stewardship, and which suits which job.

#Hermes Agent#OpenClaw#agent harness
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Rack of enterprise server equipment in a dark data hall, representing the multi-node GPU capacity a 2.8-trillion-parameter Kimi K3 deployment requires
AI Infrastructure 8 min read

Kimi K3 On-Premises: What Serving a 2.8-Trillion-Parameter Open Model Really Takes

Moonshot AI published the full Kimi K3 weights in July 2026. Self-hosting them is allowed, but the checkpoint alone is about 1.56 TB. Here is the license in plain terms, the memory arithmetic per node, what multi-node serving involves, and when a smaller model is the better call.

#Kimi K3#open-weight models#mixture of experts
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